flowStats (version 3.30.0)

calcPBChiSquare: Probability binning metirc for comparing the probability binned datasets

Description

This function calculates the Probability binning metric proposed by Baggerly et al. The function utilizes the data binned using the proBin and binByRef functions.

Usage

calcPBChiSquare(ctrlRes,sampRes,ctrlCount,sampCount)

Arguments

ctrlRes

The result generated by calling the probBin function on a control dataset.

sampRes

The result generated by calling the byByRef function on a test sample dataset

ctrlCount

The number of events in the control sample

sampCount

The number of events in the test sample being compared

Value

the residuals

See Also

proBin, calcPBChiSquare

Examples

data(GvHD)
# flow frame 1 is treated as  control dataset and used to generate bins
resCtrl<-proBin(GvHD[[1]][,c("FSC-H","SSC-H","Time")],200)  
plotBins(resCtrl,GvHD[[1]],channels=c("FSC-H","SSC-H","Time"),title="Binned control data")
# Same bins are applied to flowFrame 16
resSample<-binByRef(resCtrl,GvHD[[16]][,c("FSC-H","SSC-H","Time")])
ctrlCount<-nrow(GvHD[[1]])
sampCount<-nrow(GvHD[[16]])
stat<-calcPBChiSquare(resCtrl,resSample,ctrlCount,sampCount)